Prognostic study demonstrates effective prediction of avoidable hospital admissions using administrative data, suggesting utility for targeted primary care interventions.
Our analyses demonstrate that administrative data can be effective in predicting ACSC hospitalizations. With high predictive ability, the model can assist primary care providers to identify high-risk patients for early intervention to reduce ACSC hospitalizations.
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Gao et al. (2013) studied this question.
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